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You will get XG Football Goals prediction model

Ayman M.Status: Offline
Ayman M.
Preview image

Let a pro handle the details

Buy Machine Learning services from Ayman , priced and ready to go.
Ayman M.Status: Offline
Ayman M.
Preview image

Let a pro handle the details

Buy Machine Learning services from Ayman , priced and ready to go.

Project details

This project focuses on building a machine
learning model to predict Expected Goals (xG) in
football. The model analyzes key factors such as
number of matches played and how many goals
that player shores in season, providing valuable
insights into player XG.
Machine Learning Tools
NumPy

What's included $5

These options are included with the project scope.

$5
  • Delivery Time 1 day
  • Number of Revisions 0
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
Ayman M.Status: Offline

About Ayman

Ayman M.Status: Offline
AI Engineer | Machine Learning & Deep Learning | Computer Vision
Luxor, Egypt - 10:42 pm local time
I'm an AI developer specializing in developing predictive models and data-driven solutions that solve real-world challenges. I know a lot about Machine Learning, Deep Learning and Computer Vision. I am studying Information Technology at the Egyptian E-Learning University. I love making systems that solve real problems and make a difference. I have worked on AI projects. I made a system that controls devices with hand gestures. I also made a system that understands sign language using TensorFlow, MediaPipe and OpenCV. I built models that predict football player performance. I worked on applications that understand language. These projects helped me learn how to prepare data build models and create machine learning systems.

Steps for completing your project

After purchasing the project, send requirements so Ayman can start the project.

Delivery time starts when Ayman receives requirements from you.

Ayman works on your project following the steps below.

Revisions may occur after the delivery date.

Data Collection & Preprocessing

Gather player statistics such as matches played, minutes, goals, assists, and position & Clean and preprocess the dataset for consistency

Feature Selection

Use features including Position, Age, Matches_Played, Starts, Minutes, Goals, and Assists

Review the work, release payment, and leave feedback to Ayman .